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Failing to Understand the Exponential, Again?
My conversation with @Mononofu - Julian Schrittwieser (@AnthropicAI, AlphaGo Zero, MuZero) - on Move 37, Scaling RL, Nobel Prize for AI, and the AI frontier:
00:00 - Cold open: “We’re not seeing any slowdown.”
00:32 - Intro — Meet Julian
01:09 - The “exponential” from inside frontier labs
04:46 - 2026–2027: agents that work a full day; expert-level breadth
08:58 - Benchmarks vs reality: long-horizon work, GDP-Val, user value
10:26 - Move 37 — what actually happened and why it mattered
13:55 - Novel science: AlphaCode/AlphaTensor → when does AI earn a Nobel?
16:25 - Discontinuity vs smooth progress (and warning signs)
19:08 - Does pre-training + RL get us there? (AGI debates aside)
20:55 - Sutton’s “RL from scratch”? Julian’s take
23:03 - Julian’s path: Google → DeepMind → Anthropic
26:45 - AlphaGo (learn + search) in plain English
30:16 - AlphaGo Zero (no human data)
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